AN AUTOMATIC INFERENCE SYSTEM FOR THE QUALITY ANALYSIS OF TEST ITEMS BASED ON THE BLOOMS REVISED TAXONOMY

摘要：

Good Test items can be used to effectively measure the ability of testers. In this paper, an inference system is proposed to automatically analyze the quality for test items based on the Blooms revised taxonomy. The main concept is to find the characteristics of knowledge dimension and cognitive process dimension for test items by analyzing (he verbs and question words retrieved from the test items. After the system is completed, a test with 35 test items is analyzed by the system and an expert, respectively. The results show that the inference system can automatically and effectively analyze the quality of test items and reduce the load for generating a good test.

关键词： Rule-based system Rule-based inference Blooms revised tazonomy

作者: YI-HSING CHANG HUAN-WEN CHEN

作者单位: Department of Information Management, Southern Taiwan University, Taiwan

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 2852-2856

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）